"All items" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
**Ask your AI assistant about your Angelcam cameras, in plain language.** Sign in with your own Angelcam account (OAuth), and the assistant sees exactly what your account sees on MyAngelcam. Almost every tool only reads. There are two exceptions: the assistant can start or stop Cloud Recording on a camera when you ask, after confirming which camera it means, and it can send a feedback report to the Angelcam team once you agree to what the report contains. It never arms, configures or deletes anything. **What you can ask** • “Is the Front Door camera working right now?” It pulls a fresh frame, not the last status Angelcam recorded. • “What did the loading bay camera record at 3am?” Frames from Cloud Recording around that moment, plus a playback or download link. • “Which cameras are offline, and what needs attention at the site this morning?” • “What Real Time Security incidents happened overnight?” What raised each one and how it was verified. • “Which of our services expire next month?” (Space administrators only.) • “Start recording on the Warehouse camera.” Recording starts once you confirm the camera the assistant named. **Step-by-step guides** Six guides turn a camera you already have into a check your AI agent can run, with setup steps for Claude, ChatGPT and Grok Bot. [See all AI camera guides →](https://www.angelcam.com/ai-camera-guides?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guides-index) • [Is the gate closed? →](https://www.angelcam.com/ai-camera-guides/check-gate-open-or-closed?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-gate) • [How busy was the restaurant? →](https://www.angelcam.com/ai-camera-guides/count-restaurant-guests?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-restaurant) • [Was the container left open? →](https://www.angelcam.com/ai-camera-guides/check-container-doors?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-container) • [Is the horse lying down? →](https://www.angelcam.com/ai-camera-guides/monitor-horse-posture?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-horse) • [What changed at the shopfront? →](https://www.angelcam.com/ai-camera-guides/detect-graffiti-and-vandalism?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-graffiti) • [Is waste being left beside the bins? →](https://www.angelcam.com/ai-camera-guides/detect-waste-beside-bins?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-bins) **What's inside** • 30 tools: spaces and locations, cameras and live view, Cloud Recording (timelines, gaps, frames, downloads), incidents, services and recording control. • Answers are summaries built for an assistant to reason over, not raw API payloads. • Snapshots reach your assistant as pictures. You can switch to links only when you connect. **Works with** Claude, ChatGPT, Cursor, VS Code and any client that supports remote MCP over Streamable HTTP with OAuth. **Good to know** • Free on top of your Angelcam subscription. • Times are UTC. Angelcam allows about 30 requests a minute per user. • Want a connector that can never change anything? Add `https://mcp.angelcam.com/readonly` to your client instead. It has no recording or feedback tools. [Setup steps for every client →](https://mcp.angelcam.com/?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=connector-page)
Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.
Resale prices, flips and red flags for second-hand items, from real Vinted sales.
Free website privacy scanner for pre-consent cookies, trackers, consent, policy, and HTTPS/TLS.
Named US business and investor lenders by industry and state (569 programs, 396 institutions, sourced), each state's brokering rules, an estimated match of program types, and the next-best option after a decline. Categorical inputs only; no personal data accepted. Not a lender or broker; nothing is an offer.
GAIP keeps an independent, dated record of what AI agents, MCP servers and online shops publish.
Liliphant joins your meetings and remembers the work across all of them. Most tools stop at one transcript. Liliphant connects every conversation, so you can ask what was decided, who promised what, what changed since the first meeting, or what's still blocked. Every answer comes with the exact quote, the speaker and the meeting it came from, and if something is unclear, Liliphant tells you. Open promises and unanswered questions stay in view until someone marks them done.
Poker Bots All Stars is a live multiplayer poker room for agents. Every seat at a table is an AI player with a character built by a person and the agent they brought to play. The agents play no-limit Texas Hold'em against each other, and anyone can watch in a browser. Connect your assistant and it takes a seat as your star.
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Vedic astrology and ephemeris engine calibrated to Swiss Ephemeris and Jagannatha Hora. Most accurate calculator for all readings.
QRetro retrospectives and planning poker over MCP: boards, action items, poker games, estimates.
Birinchi Shop is an online store in Uzbekistan. Your AI assistant can search products, show the price with the 30,000 UZS delivery fee, and place a cash-on-delivery order for you — only after you confirm. A call-center operator phones to confirm every order; delivery takes 1–3 days to all regions. No API key or sign-up needed.
A living map of all your work that keeps you, your team, and your agents on the same page
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace and your own SuperCatch account or approved stores. Search public cards and collectibles, inspect current offers and seller storefronts, and find cited setup and help documentation without signing in. Connect through SuperCatch OAuth to read your purchases, watchlist membership, saved searches, recorded collection items and support cases. Approved sellers can inspect their listings, stock, low-stock items, orders, sales activity, imports and integration health, subject to current permissions. For supported changes, request the exact action you intend. Depending on consent, permissions and native readiness, tools can manage account watchlist membership and saved searches or prepare supported pricing, inventory, stock-receipt, photo-draft, listing-submission, marketplace-publication, first-shipment, tracking-correction, import-resume and support workflows. Preparation does not execute a change. Actions requiring native approval provide a SuperCatch review link and execute only the approved frozen scope. Price changes require exact confirmation or bound native approval according to the selected tool. A shipment or tracking action does not authorize a label purchase, payment or refund. Private results stay within the connected account and approved-store access. A tool appearing in discovery does not grant permission to call it. After an uncertain response, inspect the original operation and reuse its original idempotency key where documented; do not create a replacement intent to bypass recovery. Preview tools do not activate recurring automation. Connect using Streamable HTTP at https://supercatch.com/api/mcp. Setup: https://supercatch.com/ai. Help: https://supercatch.com/help. Support: support@supercatch.com. Review or revoke OAuth access in SuperCatch Account Settings > Connected Apps. Prices and availability can change; inspect the linked source before acting. Official connector repository: https://github.com/empline/supercatch-mcp.
All HasData scraping tools in one MCP server: Google, TikTok, Instagram, maps, e-commerce and more.
# **RChilli** RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli’s HR data intelligence platform through AI-callable tools. Built on 15+ years of HR data intelligence, RChilli supports ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. The tools return consistent, structured JSON responses for recruiting, talent intelligence, skills, matching, compliance, and HR workflow use cases. `userkey` and `subuserid` are injected automatically from the Bearer token and must not be passed manually. <br> --- <br> # **Available Tools** <br> > ### **`analyze_hr_call`** > > Transcribes and analyzes HR or recruiting call recordings to extract speaker turns, sentiment, candidate intent, action items, skill mentions, and structured follow-up data for recruiting operations. <br> > ### **`analyze_skill_adjacency`** > > Identifies related, adjacent, and transferable skills to support skill discovery, talent mobility, workforce planning, and candidate evaluation. <br> > ### **`analyze_skill_gap`** > > Compares candidate or employee skills against a target job and returns present skills, missing skills, readiness score, and development areas for hiring, internal mobility, and workforce planning. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to standardized taxonomy profiles from the moment a recruiter starts typing. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string and returns ranked autocomplete suggestions with canonical skill names and categories. Helps prevent free-text entry errors and keeps skill data clean. <br> > ### **`classify_job_zone`** > > Reads the job profile from a resume or job description and returns its O*NET Job Zone, from Zone 1 through Zone 5, based on the education, experience, and training preparation required for the role. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Useful as a pre-processing step before extracting data from non-standard document formats. <br> > ### **`detect_bias`** > > Reviews job descriptions and hiring criteria for gendered language, age-coded terms, unnecessary credential inflation, cultural exclusion signals, and related compliance risks. Suggests neutral replacements. <br> > ### **`detect_resume_suspicion`** > > Reviews candidate profile data for possible inconsistencies, unusual claims, timeline conflicts, missing context, and other signals that require recruiter review. <br> > ### **`extract_contacts`** > > Identifies and structures names, emails, phone numbers, LinkedIn URLs, and addresses with field-level confidence scores from candidate records, emails, or documents. <br> > ### **`extract_job_data`** > > Extracts and converts job descriptions into structured hiring data including job title, required skills, preferred skills, responsibilities, experience, education, and taxonomy-normalized role requirements. <br> > ### **`extract_resume_data`** > > Extracts and converts resumes, CVs, and candidate documents into structured, searchable profiles with contact details, skills, experience, education, certifications, and taxonomy-enriched data for ATS, HCM, and AI recruiting workflows. Supports multilingual extraction, batch processing, resume auto-fill, and reprocessing of historical resumes. <br> > ### **`extract_resume_data_from_url`** > > Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as Resume Data Extraction. Ideal for resumes stored in cloud storage, S3, email attachments, or other URL-accessible sources. <br> > ### **`find_matches_in_index`** > > Accepts a resume or job description as input and returns the top matching documents from the indexed corpus, ranked by semantic similarity. <br> > ### **`generate_interview_questions`** > > Creates technical, behavioral, situational, and competency-based interview questions tailored to a role and candidate profile, including question type, competency, and expected answer signals. <br> > ### **`generate_jd`** > > Generates structured job descriptions with title, responsibilities, required skills, preferred skills, qualifications, tone alignment, language support, and inclusivity scoring from role inputs. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Supports radius-based candidate search and workforce planning. <br> > ### **`index_document`** > > Indexes a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused across candidate matching, job matching, and similarity-search workflows. <br> > ### **`lookup_job_profile`** > > Returns authoritative detail for a known job profile including canonical title, SOC/O*NET code, job family, typical required and preferred skills, salary bands, and work context. <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, aliases, related skills, proficiency levels, and O*NET or ESCO mappings. <br> > ### **`map_job_to_skills`** > > Converts job descriptions into granular skill maps with required and preferred skill clusters, proficiency signals, taxonomy tags, and downstream matching attributes. <br> > ### **`match_end_to_end`** > > Orchestrates data extraction, indexing, taxonomy normalization, and matching to return ranked candidates or jobs with scores, explainable results, and an audit trail from a single call. <br> > ### **`normalize_candidate_data`** > > Cleans and normalizes candidate records from multiple ATS or HR systems, resolves field conflicts, deduplicates records, and produces standardized candidate data with a field-level change log. <br> > ### **`normalize_hr_data_with_lov`** > > Maps raw and inconsistent HR data values, including degrees, universities, certifications, job profiles, skills, and locations, to the closest configured List of Values entry with a standardized value and confidence score. <br> > ### **`recommend_learning_path`** > > Builds structured learning paths with prerequisites, skill sequence, certifications, proficiency targets, and LMS alignment based on a person’s profile and target role. <br> > ### **`redact_resume`** > > Redacts configured personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. <br> > ### **`reformat_resume_with_template`** > > Applies one of the RChilli resume templates, TM001 through TM006, to a structured candidate profile and produces a consistently formatted PDF, DOCX, RTF, or HTML document. <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one job description and returns an overall match score, dimension scores, matched skills, skill gaps, and a natural-language explanation. No index is required. <br> > ### **`screen_application_batch`** > > Evaluates a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions for each candidate. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant’s indexed corpus. Supports Boolean and semantic search modes. <br> > ### **`skill_mapping`** > > Maps raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. <br> > ### **`tag_entities`** > > Annotates extracted HR text by wrapping recognized entities in structured XML-style labels. Supported entities include job titles, skills, names, degrees, organizations, locations, countries, dates, and years.
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
Connect Chatway, an AI-powered website live chat and customer support platform, to ChatGPT, Claude, Gemini, Cursor, and other AI assistants using MCP. Chatway helps businesses communicate with website visitors, manage customer conversations, and deliver faster support across multiple channels, including website live chat, email, WhatsApp, Instagram, and Facebook Messenger. Native mobile apps for iOS and Android let support teams manage conversations and respond to customers on the go. With Chatway's MCP server, AI agents can access and manage customer support operations. Search and read conversations, send replies, add private notes, resolve and assign chats, manage contacts, retrieve customer information, and search knowledge base articles. Chatway also includes a built-in AI Support Agent for automated customer service, a shared team inbox, support ticket management, a customizable website chat widget, a help center, team management, automated workflows, visitor tracking, and integrations with popular platforms, including WordPress and Shopify. Connect external AI agents to automate customer support, answer customer questions, access conversation history, and streamline support workflows without building custom integrations. Manage your customer support from anywhere using Chatway's web dashboard or mobile apps. The hosted MCP server supports Streamable HTTP and secure OAuth 2.1 authentication with scoped permissions. Available on all Chatway plans, including the Free plan. Conversation limits apply. Website: https://chatway.app Documentation: https://developers.chatway.app/mcp/guides.mcp_overview
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
Many agents. One Chief. Plan, track, and manage all your AI agents in one place.
Realtime financial context for AI agents: what changed, who is affected, and what to watch next. One suite covering news, events, guidance, filing changes, sentiment, stakeholders, and alerts. Information-efficient responses with evidence for every result. First-class point-in-time safety for backtests. Pairs well with web search and a market-data API. All data is our own.
Resolves all 10,000+ US public stock tickers to SEC CIK numbers, recent 10-K/10-Q/8-K filings, an.
ParseHub.dev is a hosted document-to-records service with a remote MCP server. Agents can upload a CSV, PDF, or Word file, summarize and analyze CSV data (filter, sort, group_by, and more), read text from PDF and Word files, extract attendees, agenda items, and action items from meeting notes, ask a question about an uploaded document, and store files as database records to list and read later. Each account sees only its own files and records. **Endpoint:** `https://parsehub.dev/mcp` (Streamable HTTP, stateless) **Auth:** API key in the `X-API-Key` header (keys start with `mcp_`), or `Authorization: Bearer <API key or JWT>`. Every request without credentials returns 401. **Plans:** Free (100 API requests/month, 1 document upload), or 5,000 requests/month on the $9/month or $42/year plan. Every MCP request counts toward the allowance. **Tools:** upload_csv, summarize_csv, analyze_csv, upload_document, read_document, extract_meeting_notes, ask_document, database_status, list_database_documents, get_database_document, store_document, extract_stored_meeting_notes, export_database (administrators only). Not affiliated with ParseHub (parsehub.com), the web-scraping tool. ParseHub.dev does not scrape websites. By Poietes LLC. Docs: https://parsehub.dev/guide#connect-via-mcp
Post all your social media with your AI agent — 9 networks, from Claude, ChatGPT or Cursor.
Staylist World is a hotel comparison service your AI assistant can call directly. The free MCP server (https://staylist.world/mcp, Streamable HTTP, no auth) covers 80,000+ hotels with ratings, review summaries, published policies and booking links. No API key, no sign-up. Tools: search_hotels by city, name or need; get_hotel for overviews, amenities and published policies; get_booking_link; list_destinations; and get_reviews. There is also a REST API and Markdown versions of hotel pages. Unknown facts are marked as unknown. New: get_reviews returns a hotel's 1–2 star guest reviews from the last 24 months with the count out of all reviews; or paste staylist.world/reviews?hotel=<name> into any assistant.
Current outdoor health risks and 48-hour hourly / 8-day daily forecasts by latitude and longitude: sunburn, heat illness, air quality, altitude, frostbite, hypothermia, and lightning. Free, no API key or auth; 1,000 calls/day shared across all users and 10 calls/minute per user. Known issue: daily slot labels appear to use standard time, so during daylight saving time a 6am slot is actually 7am local.
One number per AI agent: route MCP calls to any agent, every call sealed in an on-chain log.
Search GenesisPay's catalog of x402 APIs, digital and physical products and shops: prices in USDC, trending items and verified reviews, each with a link to its page. Read-only, no sign-in; buying happens on genesispay.finance.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
Distribute original indie games through creators with Codex or Claude Code. Submit media, original platform links, per-store pricing or monetization and approved pacts in one publish_game call. Link directly to the original online game by default; never recreate it as an offline clone. Hosted previews require an explicit fidelity check, successful sandbox play and a concrete advantage over direct access. Human-curated listings and an exclusive 28-day revenue share from the first scheduled action across all stores. https://fanzero.app/agents.md
